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Elements of the General Theory of Optimal Algorithms - Springer Optimization and Its Applications Ivan V. Sergienko 1st ed. 2021 edition
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Elements of the General Theory of Optimal Algorithms - Springer Optimization and Its Applications
Ivan V. Sergienko
In this monograph, the authors develop a methodology that allows one to construct and substantiate optimal and suboptimal algorithms to solve problems in computational and applied mathematics.
378 pages, 9 Illustrations, black and white; XVII, 378 p. 9 illus.
| Médias | Livres Hardcover Book (Livre avec dos et couverture rigide) |
| Validé | 12 janvier 2022 |
| ISBN13 | 9783030909062 |
| Éditeurs | Springer Nature Switzerland AG |
| Pages | 378 |
| Dimensions | 150 × 220 × 20 mm · 730 g |
| Langue et grammaire | Allemand |
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